Triple

T8948168
Position Surface form Disambiguated ID Type / Status
Subject Lüßbach E213274 entity
Predicate partOf P40 FINISHED
Object Lake Starnberg basin E219462 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lake Starnberg basin | Statement: [Lüßbach, partOf, Lake Starnberg basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Starnberg basin
Context triple: [Lüßbach, partOf, Lake Starnberg basin]
  • A. Lake Starnberg chosen
    Lake Starnberg is a large glacial lake in Bavaria, Germany, known for its scenic beauty, affluent lakeside communities, and popularity as a recreational destination near Munich.
  • B. Tyresö-Flaten Lake
    Tyresö-Flaten Lake is a natural lake in Tyresö Municipality, Sweden, known for its scenic surroundings and recreational opportunities such as swimming and outdoor activities.
  • C. Lake Siljan
    Lake Siljan is a large, crescent-shaped lake in central Sweden, renowned for its scenic landscapes and origin in an ancient meteorite impact crater.
  • D. Brunnsviken Lake
    Brunnsviken Lake is a scenic urban lake in northern Stockholm, Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
  • E. Solina Lake
    Solina Lake is a large artificial reservoir in southeastern Poland, renowned for its scenic mountain setting, hydroelectric dam, and popularity as a tourist and water-sports destination.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6709c7a48190ab503083a1d6a29f completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd8b42408190be3e044b2a596a8b completed April 3, 2026, 5:48 p.m.
Created at: March 30, 2026, 6:59 p.m.